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Explore Recursive Model Improvement — Lee Robinson, Cursor, SpaceXAI with 9,169 views, 193 likes, and 9 comments. Experience the impact of this video content that has captured audience attention.

Lee Robinson discusses the future of Cursor and AI-native software development. Speaker: Lee Robinson — ML, Model Behavior, Cursor Model research and personality at Cursor. Previously Vercel. X: https://x.com/leerob LinkedIn: https://www.linkedin.com/in/leeerob/ GitHub: https://github.com/leerob Website: https://leerob.com Timestamps 0:37 - Introduction and recursive model improvement overview 1:55 - The two-loop training framework (inner and outer loops) 2:33 - Progress and success of Composer 2.5 4:31 - Improving the outer loop with user feedback 5:40 - Climbing the inner loop with high-quality evals 6:52 - Solving reward hacking in public benchmarks 8:27 - Scaling training with ambitious problems 9:53 - New learning methods: Teacher-student textual feedback 11:34 - Scaling compute infrastructure with SpaceX and Colossus 13:06 - Understanding compute allocation in model training 15:28 - Agent-based automation and research efficiency 18:30 - The recursive future: Models training models --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/q4Tr-DknG2M-recursive-model-improvement Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney ---

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